Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "74" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 60 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 58 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459875 | RF_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 18.555305 | 16.776151 | 69.356515 | 67.048686 | 13.617767 | 18.245180 | 4.673254 | 27.848723 | 0.0322 | 0.3713 | 0.2324 | nan | nan |
| 2459874 | digital_maintenance | 100.00% | 100.00% | 8.00% | 0.00% | - | - | 25.237238 | 24.094421 | 34.107789 | 33.645757 | 18.543310 | 25.346290 | 5.305143 | 40.726568 | 0.0324 | 0.2907 | 0.1801 | nan | nan |
| 2459873 | digital_maintenance | 100.00% | 100.00% | 0.21% | 0.00% | - | - | 19.800917 | 18.849115 | 46.847671 | 46.113290 | 7.402472 | 10.114462 | 2.918881 | 22.213963 | 0.0328 | 0.2920 | 0.1788 | nan | nan |
| 2459872 | digital_maintenance | 100.00% | 100.00% | 2.37% | 0.00% | - | - | 17.195677 | 16.283072 | 60.003146 | 58.703034 | 20.484309 | 27.815506 | 3.984127 | 19.808568 | 0.0296 | 0.3081 | 0.1815 | nan | nan |
| 2459871 | digital_maintenance | 100.00% | 100.00% | 1.66% | 0.00% | - | - | 13.825591 | 13.276513 | 64.635692 | 62.812003 | 18.298906 | 23.157684 | 2.256462 | 18.365481 | 0.0305 | 0.2989 | 0.1757 | nan | nan |
| 2459870 | digital_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 23.241626 | 20.863193 | 48.533784 | 46.774519 | 11.257954 | 17.066625 | 7.633644 | 52.383050 | 0.0309 | 0.3476 | 0.2158 | nan | nan |
| 2459869 | digital_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 19.620448 | 16.433989 | 48.487595 | 46.540645 | 16.122339 | 20.315351 | 6.796229 | 20.315836 | 0.0324 | 0.3710 | 0.2383 | nan | nan |
| 2459868 | digital_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 21.304909 | 20.108455 | 73.607070 | 70.985115 | 11.047709 | 15.270606 | 5.945543 | 43.750675 | 0.0310 | 0.3178 | 0.2086 | nan | nan |
| 2459867 | digital_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 14.832366 | 14.156740 | 57.788253 | 56.012854 | 6.057653 | 9.519563 | 4.120748 | 35.433444 | 0.0318 | 0.3265 | 0.2057 | nan | nan |
| 2459866 | digital_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 17.155758 | 15.898536 | 54.466210 | 53.039917 | 7.010444 | 10.858043 | 3.345042 | 18.556090 | 0.0343 | 0.3306 | 0.2043 | nan | nan |
| 2459865 | digital_maintenance | 100.00% | 100.00% | 12.89% | 0.00% | - | - | 19.211306 | 18.781893 | 66.390840 | 65.400352 | 16.161450 | 21.417475 | 15.569973 | 18.100534 | 0.0291 | 0.3436 | 0.2038 | nan | nan |
| 2459864 | digital_maintenance | 100.00% | 100.00% | 5.48% | 0.00% | - | - | 22.996990 | 22.757498 | 26.595204 | 26.540638 | 8.522563 | 12.215003 | 6.593673 | 37.909990 | 0.0300 | 0.2988 | 0.1871 | nan | nan |
| 2459863 | digital_maintenance | 100.00% | 100.00% | 9.02% | 0.00% | - | - | 13.967755 | 13.594047 | 8.424542 | 8.589982 | 3.190595 | 4.614231 | 3.087494 | 18.827394 | 0.0303 | 0.2979 | 0.1927 | nan | nan |
| 2459862 | digital_maintenance | 100.00% | 100.00% | 6.31% | 0.00% | - | - | 13.653311 | 13.922896 | 30.382509 | 30.668141 | 12.557152 | 17.523229 | 2.480310 | 16.047847 | 0.0325 | 0.3205 | 0.1921 | nan | nan |
| 2459861 | digital_maintenance | 100.00% | 100.00% | 3.97% | 0.00% | - | - | 10.498998 | 9.894711 | 8.460067 | 8.786591 | 2.717062 | 2.403102 | 2.583239 | 18.940856 | 0.0300 | 0.3099 | 0.1842 | nan | nan |
| 2459860 | digital_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 11.327727 | 10.605114 | 25.348671 | 25.180500 | 15.086186 | 19.422992 | 2.612269 | 23.815559 | 0.0303 | 0.3238 | 0.2107 | nan | nan |
| 2459859 | digital_maintenance | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 9.478328 | 8.907643 | 9.121866 | 9.390267 | 2.437031 | 2.070665 | 1.313308 | 16.996751 | 0.0309 | 0.3236 | 0.2093 | nan | nan |
| 2459858 | digital_maintenance | 100.00% | 100.00% | 72.77% | 0.00% | 100.00% | 0.00% | 10.329840 | 9.580436 | 9.442476 | 9.627222 | 2.578685 | 2.623550 | 2.648771 | 24.995522 | 0.0308 | 0.3250 | 0.2084 | 1.140006 | 1.297632 |
| 2459857 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 6.346402 | 6.137790 | 1.925092 | 1.769074 | 0.650369 | 3.209212 | 7.768268 | 20.128212 | 0.0239 | 0.0235 | 0.0007 | nan | nan |
| 2459856 | digital_maintenance | 100.00% | 100.00% | 78.29% | 0.00% | 100.00% | 0.00% | 15.431682 | 13.987407 | 23.804441 | 23.381906 | 7.023582 | 11.530265 | 4.031002 | 21.988033 | 0.0326 | 0.3583 | 0.2357 | 1.165436 | 1.337967 |
| 2459855 | digital_maintenance | 100.00% | 100.00% | 70.50% | 0.00% | 100.00% | 0.00% | 16.183254 | 14.213468 | 24.939947 | 24.439409 | 2.682386 | 4.127708 | 2.109402 | 13.280473 | 0.0316 | 0.3682 | 0.2413 | 1.150077 | 1.306589 |
| 2459854 | digital_maintenance | 100.00% | 100.00% | 63.56% | 0.00% | 100.00% | 0.00% | 16.142045 | 12.710192 | 19.097812 | 18.644691 | 3.814791 | 3.763923 | 5.703590 | 22.165430 | 0.0320 | 0.3966 | 0.2688 | 1.161312 | 1.317379 |
| 2459853 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 270.681642 | 270.232393 | inf | inf | 5167.971131 | 5127.988269 | 13905.006873 | 13691.873706 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459852 | digital_maintenance | 100.00% | 100.00% | 10.81% | 0.00% | 100.00% | 0.00% | 13.525888 | 11.401341 | 26.863803 | 26.509387 | 15.896262 | 14.877988 | 16.718374 | 12.272428 | 0.0294 | 0.6294 | 0.3757 | 1.149147 | 1.771651 |
| 2459851 | digital_maintenance | 100.00% | 100.00% | 69.82% | 0.00% | 100.00% | 0.00% | 10.726608 | 17.293452 | 27.488368 | 28.775904 | 21.656110 | 37.728674 | 14.045594 | 41.035138 | 0.0473 | 0.4229 | 0.2508 | 0.828759 | 1.113890 |
| 2459850 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 12.927092 | 15.210736 | 23.717976 | 23.919806 | 10.503541 | 17.624964 | 7.873714 | 44.648017 | 0.0257 | 0.0530 | 0.0169 | 1.148662 | 1.150278 |
| 2459849 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 15.034278 | 13.551462 | 47.750293 | 47.269067 | 7.316506 | 11.110048 | 4.998137 | 24.727682 | 0.0258 | 0.0562 | 0.0182 | 1.157985 | 1.166484 |
| 2459848 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.821355 | 15.110901 | 30.460449 | 32.221922 | 14.403968 | 21.495444 | 2.166395 | 4.198953 | 0.0258 | 0.0433 | 0.0107 | 1.173376 | 1.173945 |
| 2459847 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 15.956999 | 17.602812 | 28.475801 | 30.463784 | 21.503433 | 27.090146 | 0.731953 | 1.761983 | 0.0255 | 0.0359 | 0.0065 | 1.150996 | 1.151384 |
| 2459846 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 25.311863 | 25.608843 | 34.390047 | 35.234877 | 22.010082 | 20.712446 | 4.373940 | 5.779312 | 0.0261 | 0.0489 | 0.0140 | 1.141582 | 1.159530 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | RF_maintenance | ee Power | 69.356515 | 18.555305 | 16.776151 | 69.356515 | 67.048686 | 13.617767 | 18.245180 | 4.673254 | 27.848723 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 40.726568 | 25.237238 | 24.094421 | 34.107789 | 33.645757 | 18.543310 | 25.346290 | 5.305143 | 40.726568 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 46.847671 | 19.800917 | 18.849115 | 46.847671 | 46.113290 | 7.402472 | 10.114462 | 2.918881 | 22.213963 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 60.003146 | 16.283072 | 17.195677 | 58.703034 | 60.003146 | 27.815506 | 20.484309 | 19.808568 | 3.984127 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 64.635692 | 13.276513 | 13.825591 | 62.812003 | 64.635692 | 23.157684 | 18.298906 | 18.365481 | 2.256462 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 52.383050 | 23.241626 | 20.863193 | 48.533784 | 46.774519 | 11.257954 | 17.066625 | 7.633644 | 52.383050 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 48.487595 | 19.620448 | 16.433989 | 48.487595 | 46.540645 | 16.122339 | 20.315351 | 6.796229 | 20.315836 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 73.607070 | 21.304909 | 20.108455 | 73.607070 | 70.985115 | 11.047709 | 15.270606 | 5.945543 | 43.750675 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 57.788253 | 14.832366 | 14.156740 | 57.788253 | 56.012854 | 6.057653 | 9.519563 | 4.120748 | 35.433444 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 54.466210 | 15.898536 | 17.155758 | 53.039917 | 54.466210 | 10.858043 | 7.010444 | 18.556090 | 3.345042 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 66.390840 | 19.211306 | 18.781893 | 66.390840 | 65.400352 | 16.161450 | 21.417475 | 15.569973 | 18.100534 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 37.909990 | 22.757498 | 22.996990 | 26.540638 | 26.595204 | 12.215003 | 8.522563 | 37.909990 | 6.593673 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 18.827394 | 13.967755 | 13.594047 | 8.424542 | 8.589982 | 3.190595 | 4.614231 | 3.087494 | 18.827394 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Power | 30.668141 | 13.653311 | 13.922896 | 30.382509 | 30.668141 | 12.557152 | 17.523229 | 2.480310 | 16.047847 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 18.940856 | 9.894711 | 10.498998 | 8.786591 | 8.460067 | 2.403102 | 2.717062 | 18.940856 | 2.583239 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 25.348671 | 11.327727 | 10.605114 | 25.348671 | 25.180500 | 15.086186 | 19.422992 | 2.612269 | 23.815559 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 16.996751 | 9.478328 | 8.907643 | 9.121866 | 9.390267 | 2.437031 | 2.070665 | 1.313308 | 16.996751 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 24.995522 | 9.580436 | 10.329840 | 9.627222 | 9.442476 | 2.623550 | 2.578685 | 24.995522 | 2.648771 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 20.128212 | 6.137790 | 6.346402 | 1.769074 | 1.925092 | 3.209212 | 0.650369 | 20.128212 | 7.768268 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 23.804441 | 15.431682 | 13.987407 | 23.804441 | 23.381906 | 7.023582 | 11.530265 | 4.031002 | 21.988033 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 24.939947 | 14.213468 | 16.183254 | 24.439409 | 24.939947 | 4.127708 | 2.682386 | 13.280473 | 2.109402 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 22.165430 | 12.710192 | 16.142045 | 18.644691 | 19.097812 | 3.763923 | 3.814791 | 22.165430 | 5.703590 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Power | inf | 270.232393 | 270.681642 | inf | inf | 5127.988269 | 5167.971131 | 13691.873706 | 13905.006873 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 26.863803 | 13.525888 | 11.401341 | 26.863803 | 26.509387 | 15.896262 | 14.877988 | 16.718374 | 12.272428 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 41.035138 | 10.726608 | 17.293452 | 27.488368 | 28.775904 | 21.656110 | 37.728674 | 14.045594 | 41.035138 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Temporal Discontinuties | 44.648017 | 12.927092 | 15.210736 | 23.717976 | 23.919806 | 10.503541 | 17.624964 | 7.873714 | 44.648017 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | ee Power | 47.750293 | 15.034278 | 13.551462 | 47.750293 | 47.269067 | 7.316506 | 11.110048 | 4.998137 | 24.727682 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Power | 32.221922 | 15.110901 | 13.821355 | 32.221922 | 30.460449 | 21.495444 | 14.403968 | 4.198953 | 2.166395 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Power | 30.463784 | 17.602812 | 15.956999 | 30.463784 | 28.475801 | 27.090146 | 21.503433 | 1.761983 | 0.731953 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74 | N05 | digital_maintenance | nn Power | 35.234877 | 25.311863 | 25.608843 | 34.390047 | 35.234877 | 22.010082 | 20.712446 | 4.373940 | 5.779312 |